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Mladen Stojic, President of Hexagon GeospatialDynamic Panoramic is a column by Mladen Stojic, President of Hexagon Geospatial. Mr. Stojic is a renowned geospatial industry expert who shares his insights into how geospatial information is increasingly being used to drive critical decisions in organizations of all sizes.

The need to scale geospatial data production capabilities continues to increase, as technologies once segmented become integrated. Large organizations need to react to rapid global changes with smart decision-making. This requires advanced remote sensing analysis and spatial modeling to make data truly actionable.

This release expands sensor support and offers a wide array of new features, including a suite of tools for handing point clouds and a next-generation spatial modeler.

The new point cloud suite enables users to simultaneously view point clouds in 2D and 3D and user defined profiles as well as providing advanced editing and analysis capabilities.

The new spatial modeler features a modern interface and provides real-time preview of results. Offering greater flexibility and efficiencies, this new approach will significantly enhance core spatial modeling capabilities. In addition to the ERDAS IMAGINE raster operators, the new spatial modeler incorporates GeoMedia® vector and grid operators to greatly extend the problem-solving capability. With the ability to incorporate operators from other software, the new Python scripting will also allow users to extend the utility of the modeler, providing greater flexibility.

ERDAS IMAGINE also includes a number of add-ons, expanding upon the core functionality in the product. LPS has been “ribbonized” and integrated into the ERDAS IMAGINE user experience, making photogrammetry even easier. Users can now achieve better results for object-based feature extraction with IMAGINE Objective. Providing users with the ability to fine-tune the creation of segments based on shape, size, texture, and spectral value, IMAGINE Objective now also uses a new segmentation algorithm.

To learn more about ERDAS IMAGINE 2013, be sure to check out the Intergraph Geospatial 2013 resources page.